Coherent Corp. is looking to solve yield monitoring and analysis problems in optoelectronic device manufacturing
Requirements
- Proficiency in data analysis tools (JMP, Python, or R) and SQL for querying manufacturing databases
- Working knowledge of semiconductor processes and device fabrication techniques
- Familiarity with machine learning concepts and their application to yield prediction or defect classification
- Experience with advanced yield modeling and SPC methodologies
- Exposure to high-volume production environments and rapid problem-resolution techniques
- Knowledge of laser diodes, photodetectors, VCSELs, or similar optoelectronic devices
- Experience with data mining and analytics
Responsibilities
- Track yield performance across production lines and quickly identify negative trends
- Use structured problem-solving techniques to investigate and resolve yield excursions
- Perform deep dives into large manufacturing datasets using SQL, JMP, and other data analysis tools
- Build and maintain predictive yield models and apply machine learning techniques for early detection of defects or deviations
- Leverage a strong understanding of semiconductor process flows and device physics for optoelectronic components
- Collaborate with process engineers to refine process windows and reduce variability
- Support rapid ramp-up of new optoelectronic products, ensuring smooth transitions from development to production with high initial yields
Other
- Bachelor’s or Master’s degree in Electrical Engineering, Materials Science, Applied Physics, Data Science, or a related field
- 3+ years of experience in semiconductor yield engineering, ideally in optoelectronic device manufacturing
- Strong communication skills, including the ability to engage with customers and present complex findings clearly
- Proven track record of cross-functional leadership and collaborative problem-solving
- Ability to work in a class 100/1000 clean room and wear full cleanroom attire
